Arjun Singh — AI Researcher

I joined TikTok in March '24 and have been working in the Monetization GenAI (Ads) team. Most of my work has revolved around curating, cleaning and pre/post processing internal business data for both continual pretraining and supervised finetuning of LLMs. I've leveraged these trained models to solve several downstream use cases, spanning a number of TikTok Monetization businesses. My last position at Microsoft was a Senior Data & Applied Scientist in the Azure Machine Learning team. My last project was an optimization-study using LoRA, QLoRA, DeepSpeed ZeRO, Gradient Checkpointing and Flash-Attention. Publication shared on my profile. Earlier projects involved fine-tuning, prompting & benchmarking OpenAI and LLaMA models for enterprise customers. I was also deeply involved in shipping AutoML NLP (from a proof of concept) to GA. Areas of expertise include Deep Neural Networks, Large Language Models, PyTorch based model implementation, as well as classical machine learning. I have also successfully completed graduate courses like Deep Learning, Statistical Machine Learning, Applied Statistics and Experimental Design, Introduction to Statistics and Probability, Information Visualization, and Database Management at the University of Washington, Seattle. I've been a Research Assistant at the Institute for Health Metrics and Evaluation, where I worked on estimating the burden of disease averted by personal health care in the US, where burden is measured by disability-adjusted-life-years and personal health care by the healthcare quality and access index. I previously worked in Algorithmic Trading at Goldman Sachs, for 5 years where I analyzed market data, in the form of time series data, to calibrate signals for trading algorithms and worked on numerous regression problems.

Stackforce AI infers this person is a Data Scientist specializing in AI/ML and Fintech.

Location: Seattle, Washington, United States

Experience: 12 yrs 2 mos